Julien Mairal

According to our database, Julien Mairal authored at least 123 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Functional Bilevel Optimization for Machine Learning.

Ieva Petrulionyte, Julien Mairal, Michael Arbel

CoRR, 2024

On Good Practices for Task-Specific Distillation of Large Pretrained Models.

Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus

CoRR, 2024

Fast Semi-supervised Unmixing using Non-convex Optimization.

Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot

CoRR, 2024

2023

Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing.

Alexandre Zouaoui, Gedeon Muhawenayo, Behnood Rasti, Jocelyn Chanussot, Julien Mairal

IEEE Trans. Image Process., 2023

SUnAA: Sparse Unmixing Using Archetypal Analysis.

Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot

IEEE Geosci. Remote. Sens. Lett., 2023

Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation.

Bruno Lecouat, Yann Dubois de Mont-Marin, Théo Bodrito, Julien Mairal, Jean Ponce

CoRR, 2023

Towards Real-World Focus Stacking with Deep Learning.

Alexandre Araujo, Jean Ponce, Julien Mairal

CoRR, 2023

Vision Transformers Need Registers.

Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski

CoRR, 2023

Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package.

Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot

CoRR, 2023

Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers.

Romain Menegaux, Emmanuel Jehanno, Margot Selosse, Julien Mairal

CoRR, 2023

DINOv2: Learning Robust Visual Features without Supervision.

Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski

CoRR, 2023

GloptiNets: Scalable Non-Convex Optimization with Certificates.

Gaspard Beugnot, Julien Mairal, Alessandro Rudi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hysupp: An Open-Source Hyperspectral Unmixing Python Package.

Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Learning Reward Functions for Robotic Manipulation by Observing Humans.

Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Sequential Counterfactual Risk Minimization.

Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard

Proceedings of the International Conference on Machine Learning, 2023

Combining Multi-Spectral Data With Statistical and Deep-Learning Models for Improved Exoplanet Detection in Direct Imaging at High Contrast.

Olivier Flasseur, Théo Bodrito, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange

Proceedings of the 31st European Signal Processing Conference, 2023

SLACK: Stable Learning of Augmentations with Cold-Start and KL Regularization.

Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Semi-supervised learning made simple with self-supervised clustering.

Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

High dynamic range and super-resolution from raw image bursts.

Bruno Lecouat, Thomas Eboli, Jean Ponce, Julien Mairal

ACM Trans. Graph., 2022

Efficient Kernel UCB for Contextual Bandits.

Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard

CoRR, 2022

Non-Convex Bilevel Games with Critical Point Selection Maps.

Michael Arbel, Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self Supervised Learning for Few Shot Hyperspectral Image Classification.

Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

The Spectral Bias of Polynomial Neural Networks.

Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher

Proceedings of the Tenth International Conference on Learning Representations, 2022

Amortized Implicit Differentiation for Stochastic Bilevel Optimization.

Michael Arbel, Julien Mairal

Proceedings of the Tenth International Conference on Learning Representations, 2022

Self-Supervised Models are Continual Learners.

Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

On the Benefits of Large Learning Rates for Kernel Methods.

Gaspard Beugnot, Julien Mairal, Alessandro Rudi

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Efficient Kernelized UCB for Contextual Bandits.

Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Extracting representations of cognition across neuroimaging studies improves brain decoding.

Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux

PLoS Comput. Biol., 2021

On the Importance of Visual Context for Data Augmentation in Scene Understanding.

Nikita Dvornik, Julien Mairal, Cordelia Schmid

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Residual Reinforcement Learning from Demonstrations.

Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid

CoRR, 2021

GraphiT: Encoding Graph Structure in Transformers.

Grégoire Mialon, Dexiong Chen, Margot Selosse, Julien Mairal

CoRR, 2021

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results.

Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li, Shuaicheng Liu, Ziluan Liu, Ziwei Luo, Takahiro Maeda, Julien Mairal, Christian Micheloni, Xuan Mo, Takeru Oba, Pavel Ostyakov, Jean Ponce, Sanghyeok Son, Jian Sun, Norimichi Ukita, Rao Muhammad Umer, Youliang Yan, Lei Yu, Magauiya Zhussip, Xueyi Zou

CoRR, 2021

Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts.

Bruno Lecouat, Jean Ponce, Julien Mairal

CoRR, 2021

A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration.

Théo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization.

Gaspard Beugnot, Julien Mairal, Alessandro Rudi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention.

Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal

Proceedings of the 9th International Conference on Learning Representations, 2021

Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts.

Bruno Lecouat, Jean Ponce, Julien Mairal

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Emerging Properties in Self-Supervised Vision Transformers.

Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise.

Andrei Kulunchakov, Julien Mairal

J. Mach. Learn. Res., 2020

Designing and Learning Trainable Priors with Non-Cooperative Games.

Bruno Lecouat, Jean Ponce, Julien Mairal

CoRR, 2020

An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention.

Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal

CoRR, 2020

Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions.

Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal

CoRR, 2020

Selecting Relevant Features from a Universal Representation for Few-shot Classification.

Nikita Dvornik, Cordelia Schmid, Julien Mairal

CoRR, 2020

Pruning Convolutional Neural Networks with Self-Supervision.

Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin

CoRR, 2020

A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding.

Bruno Lecouat, Jean Ponce, Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments.

Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Convolutional Kernel Networks for Graph-Structured Data.

Dexiong Chen, Laurent Jacob, Julien Mairal

Proceedings of the 37th International Conference on Machine Learning, 2020

Fully Trainable and Interpretable Non-local Sparse Models for Image Restoration.

Bruno Lecouat, Jean Ponce, Julien Mairal

Proceedings of the Computer Vision - ECCV 2020, 2020

Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification.

Nikita Dvornik, Cordelia Schmid, Julien Mairal

Proceedings of the Computer Vision - ECCV 2020, 2020

Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions.

Grégoire Mialon, Julien Mairal, Alexandre d'Aspremont

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration.

Hongzhou Lin, Julien Mairal, Zaïd Harchaoui

SIAM J. Optim., 2019

Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations.

Alberto Bietti, Julien Mairal

J. Mach. Learn. Res., 2019

Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more.

Julien Mairal

CoRR, 2019

Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function.

Grégoire Mialon, Alexandre d'Aspremont, Julien Mairal

CoRR, 2019

Revisiting Non Local Sparse Models for Image Restoration.

Bruno Lecouat, Jean Ponce, Julien Mairal

CoRR, 2019

Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features.

Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin

CoRR, 2019

Biological sequence modeling with convolutional kernel networks.

Dexiong Chen, Laurent Jacob, Julien Mairal

Bioinform., 2019

A Generic Acceleration Framework for Stochastic Composite Optimization.

Andrei Kulunchakov, Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Recurrent Kernel Networks.

Dexiong Chen, Laurent Jacob, Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Inductive Bias of Neural Tangent Kernels.

Alberto Bietti, Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Estimate Sequences for Variance-Reduced Stochastic Composite Optimization.

Andrei Kulunchakov, Julien Mairal

Proceedings of the 36th International Conference on Machine Learning, 2019

A Kernel Perspective for Regularizing Deep Neural Networks.

Alberto Bietti, Grégoire Mialon, Dexiong Chen, Julien Mairal

Proceedings of the 36th International Conference on Machine Learning, 2019

Diversity With Cooperation: Ensemble Methods for Few-Shot Classification.

Nikita Dvornik, Julien Mairal, Cordelia Schmid

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Pre-Training of Image Features on Non-Curated Data.

Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Stochastic Subsampling for Factorizing Huge Matrices.

Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux

IEEE Trans. Signal Process., 2018

On Regularization and Robustness of Deep Neural Networks.

Alberto Bietti, Grégoire Mialon, Julien Mairal

CoRR, 2018

Extracting Universal Representations of Cognition across Brain-Imaging Studies.

Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux

CoRR, 2018

Unsupervised Learning of Artistic Styles with Archetypal Style Analysis.

Daan Wynen, Cordelia Schmid, Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Modeling Visual Context Is Key to Augmenting Object Detection Datasets.

Nikita Dvornik, Julien Mairal, Cordelia Schmid

Proceedings of the Computer Vision - ECCV 2018, 2018

Catalyst for Gradient-based Nonconvex Optimization.

Courtney Paquette, Hongzhou Lin, Dmitriy Drusvyatskiy, Julien Mairal, Zaïd Harchaoui

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice.

Hongzhou Lin, Julien Mairal, Zaïd Harchaoui

J. Mach. Learn. Res., 2017

Convolutional Patch Representations for Image Retrieval: An Unsupervised Approach.

Mattis Paulin, Julien Mairal, Matthijs Douze, Zaïd Harchaoui, Florent Perronnin, Cordelia Schmid

Int. J. Comput. Vis., 2017

Subsampling Enables Fast Factorisation of Huge Matrices into Sparse Signals.

Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux

ERCIM News, 2017

Group Invariance and Stability to Deformations of Deep Convolutional Representations.

Alberto Bietti, Julien Mairal

CoRR, 2017

Learning Neural Representations of Human Cognition across Many fMRI Studies.

Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gaël Varoquaux

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Invariance and Stability of Deep Convolutional Representations.

Alberto Bietti, Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure.

Alberto Bietti, Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

BlitzNet: A Real-Time Deep Network for Scene Understanding.

Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid

Proceedings of the IEEE International Conference on Computer Vision, 2017

Large-Scale Machine Learning and Applications. (Apprentissage à grande échelle et applications).

Julien Mairal

, 2017

2016

DOLPHIn - Dictionary Learning for Phase Retrieval.

Andreas M. Tillmann, Yonina C. Eldar, Julien Mairal

IEEE Trans. Signal Process., 2016

End-to-End Kernel Learning with Supervised Convolutional Kernel Networks.

Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dictionary Learning for Massive Matrix Factorization.

Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux

Proceedings of the 33nd International Conference on Machine Learning, 2016

Dictionary learning from phaseless measurements.

Andreas M. Tillmann, Yonina C. Eldar, Julien Mairal

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning.

Julien Mairal

SIAM J. Optim., 2015

Guest Editorial: Sparse Coding.

Julien Mairal, Michael Elad, Francis R. Bach

Int. J. Comput. Vis., 2015

A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples.

Elsa Bernard, Laurent Jacob, Julien Mairal, Eric Viara, Jean-Philippe Vert

BMC Bioinform., 2015

A Universal Catalyst for First-Order Optimization.

Hongzhou Lin, Julien Mairal, Zaïd Harchaoui

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Local Convolutional Features with Unsupervised Training for Image Retrieval.

Mattis Paulin, Matthijs Douze, Zaïd Harchaoui, Julien Mairal, Florent Perronnin, Cordelia Schmid

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Sparse Modeling for Image and Vision Processing.

Julien Mairal, Francis R. Bach, Jean Ponce

Found. Trends Comput. Graph. Vis., 2014

One-Bit Object Detection: On learning to localize objects with minimal supervision.

Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell

CoRR, 2014

Efficient RNA isoform identification and quantification from RNA-Seq data with network flows.

Elsa Bernard, Laurent Jacob, Julien Mairal, Jean-Philippe Vert

Bioinform., 2014

Convolutional Kernel Networks.

Julien Mairal, Piotr Koniusz, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On learning to localize objects with minimal supervision.

Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell

Proceedings of the 31th International Conference on Machine Learning, 2014

Mixing Body-Part Sequences for Human Pose Estimation.

Anoop Cherian, Julien Mairal, Karteek Alahari, Cordelia Schmid

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Fast and Robust Archetypal Analysis for Representation Learning.

Yuansi Chen, Julien Mairal, Zaïd Harchaoui

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Supervised feature selection in graphs with path coding penalties and network flows.

Julien Mairal, Bin Yu

J. Mach. Learn. Res., 2013

Stochastic Majorization-Minimization Optimization with First-Order Surrogate Functions.

Julien Mairal

CoRR, 2013

Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization.

Julien Mairal

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Optimization with First-Order Surrogate Functions.

Julien Mairal

Proceedings of the 30th International Conference on Machine Learning, 2013

Structured Penalties for Log-Linear Language Models.

Anil Kumar Nelakanti, Cédric Archambeau, Julien Mairal, Francis R. Bach, Guillaume Bouchard

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

Task-Driven Dictionary Learning.

Julien Mairal, Francis R. Bach, Jean Ponce

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Optimization with Sparsity-Inducing Penalties.

Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski

Found. Trends Mach. Learn., 2012

Complexity Analysis of the Lasso Regularization Path.

Julien Mairal, Bin Yu

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Convex and Network Flow Optimization for Structured Sparsity.

Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach

J. Mach. Learn. Res., 2011

Proximal Methods for Hierarchical Sparse Coding.

Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach

J. Mach. Learn. Res., 2011

Learning Hierarchical and Topographic Dictionaries with Structured Sparsity

Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach

CoRR, 2011

Dictionary Learning for Deblurring and Digital Zoom

Florent Couzinie-Devy, Julien Mairal, Francis R. Bach, Jean Ponce

CoRR, 2011

Structured sparsity through convex optimization

Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski

CoRR, 2011

Sparse image representation with epitomes.

Louise Benoît, Julien Mairal, Francis R. Bach, Jean Ponce

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Sparse Representation for Computer Vision and Pattern Recognition.

John Wright, Yi Ma, Julien Mairal, Guillermo Sapiro, Thomas S. Huang, Shuicheng Yan

Proc. IEEE, 2010

Online Learning for Matrix Factorization and Sparse Coding.

Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro

J. Mach. Learn. Res., 2010

Network Flow Algorithms for Structured Sparsity.

Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Proximal Methods for Sparse Hierarchical Dictionary Learning.

Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Online dictionary learning for sparse coding.

Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Non-local sparse models for image restoration.

Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Sparse Representation for Color Image Restoration.

Julien Mairal, Michael Elad, Guillermo Sapiro

IEEE Trans. Image Process., 2008

Learning Multiscale Sparse Representations for Image and Video Restoration.

Julien Mairal, Guillermo Sapiro, Michael Elad

Multiscale Model. Simul., 2008

Convex Sparse Matrix Factorizations

Francis R. Bach, Julien Mairal, Jean Ponce

CoRR, 2008

Supervised Dictionary Learning.

Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation.

Julien Mairal, Marius Leordeanu, Francis R. Bach, Martial Hebert, Jean Ponce

Proceedings of the Computer Vision, 2008

Discriminative learned dictionaries for local image analysis.

Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Multiscale Sparse Image Representationwith Learned Dictionaries.

Julien Mairal, Guillermo Sapiro, Michael Elad

Proceedings of the International Conference on Image Processing, 2007

2006

Fast and Efficient Dense Variational Stereo on GPU.

Julien Mairal, Renaud Keriven, Alexandre Chariot

Proceedings of the 3rd International Symposium on 3D Data Processing, 2006